Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BBD2C6317100763B9197C3C9B366A76EF3E78349DA46054582FE83AD0BA3D94DE3391A |
|
CONTENT
ssdeep
|
768:iS5y5NBOnDgIU6jZ1dEBRoRDPKcK67sOy2+y9BH4crIe:UMjNFRDPu67sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926bed12996d9287 |
|
VISUAL
aHash
|
000000000404ffff |
|
VISUAL
dHash
|
0d0d4b4bcd4cf300 |
|
VISUAL
wHash
|
80e5f101040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeffdfdffffffe,0080800078908000,090d4b4b5bcdccf3 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 8 techniques to evade detection by security scanners and make reverse engineering more difficult.